Triple

T14188834
Position Surface form Disambiguated ID Type / Status
Subject Gordon County E351653 entity
Predicate hasTown P847 FINISHED
Object Resaca, Georgia E912262 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Resaca, Georgia | Statement: [Gordon County, hasTown, Resaca, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Resaca, Georgia
Context triple: [Gordon County, hasTown, Resaca, Georgia]
  • A. Resaca, Georgia chosen
    Resaca, Georgia is a small town in Gordon County best known as the site of a major Civil War battle in May 1864 during the Atlanta Campaign.
  • B. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • C. St. Marys, Georgia
    St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
  • D. Tallapoosa, Georgia
    Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
  • E. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61de509881908967ef5031f2a8d9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280861fc81908c342fc229a526f3 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:03 a.m.